\HeaderA{classQual}{Quality of A Classification}{classQual}
\begin{Description}\relax
Calsulates the quality of a classification using a result data frame from \code{predict} function.
\end{Description}
\begin{Usage}
\begin{verbatim}
classQual(dataFrame, dataset)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{dataFrame}] a result data frame from \code{predict} function.
\item[\code{dataset}] a data frame to test
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
The function returns the quality of a classification. It would be a number between 0 and max number of rows of dataset argument. The function simply sums up the probability of assigning an example to the class that an example should be assigned.
\end{Details}

